Gender: Female 
Age: 35-44
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 1
Home: Rent 
Employment: Employed part time
Occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Mother's occupation: Elementary occupations (jobs that involve simple and routine tasks which may require the use of hand-held tools and considerable physical effort)
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Listen to rock/indie music;Use social media 
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools used: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;GitHub Copilot;Google Gemini;Claude 
LLM use cases: Coding;Writing (e.g., composing emails);Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generic chatbot conversation;Solving math or logical problems;Analyze data;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Work;Entertainment;Learning;Technical;Personal 
Prompt 1: What is vermiculture?
Prompt 2: Is this lucrative? 
Prompt 3: Is chicken pox a problem to a 36 week pregnant lady? 
Prompt 4: Suggest some names 4 my upcoming baby girl
Prompt 5: documenting incident reports in cyber security
Prompt 6: what sort of information is included in a risk assessment
Prompt 7: I have just completed NCFE cyber security cert, is it worth doing the levl 3 if its free? 
Prompt 8: In a 74 yo woman, how serious is the removal of 2 back teeth and a bone scraping of the jaw. What would b the expected recovery time?
Prompt 9: Solve the quadratic equation $(2/3)x^2 - 75x + 316 = 0$ by finding its roots
Prompt 10: evaluate the limit of $\lim\limits_{x\to 3}\frac{x^4 -9x^2 + 4x - 12}{(x-3)(4-x)}?$: